Artificial Intelligence of Things (AIoT)

Artificial Intelligence of Things (AIoT)

The Ouline

What’s AIoT?

AIoT(人工智能物联网)=AI(人工智能)+IoT(物联网)
The Artificial Intelligence of Things (AIoT) is the combination of artificial intelligence (AI) technologies with the Internet of Things (IoT) infrastructure to achieve more efficient IoT operations, improve human-machine interactions and enhance data management and analytics.

AIoT Hardware Architecture

This is the architecture of AIoT hardware. Here is a example of the specific equipment:

SI-61S-AI Industrial AI Computer

The SI-61S-AI is a highly scalable player with an artificial intelligence calculation analysis system developed for multi-screen video wall applications.
It is equipped with Intel’s latest 7th generation desktop processor and supports multiple players via one Matrox or AMD PCI-E (x8) graphics card, and perform artificial intelligence analysis through another NVIDIA GPU card for AI analysis.
High recognition rate from AI analysis will provide on-site personnel with accurate data for better management and judgment.

IoT and Data

  • Extension of IoT Applications(Consumer, industries, smart home, etc.)
  • Data Explosion(爆炸)
  • Artificial Intelligence of Things(IoT —> Big Data —> AI )

Data-driven AIoT

  • Data Sources
  • Data Processing and management
  • Application-based analytics
  • Application & sources

Data Processing and management

1. Data Collection

  • Filtering
  • Pre-processing
  • Storing
  • Ingestion(摄取)

2.1 Data Discovery

  • Data Fusion(数据融合,集成多个数据源)
  • Enrichment(使用模糊逻辑辅助搜索;获得相关的源地址信息;纠正拼写错误等)
  • Modeling(建模)
  • Indexing(标引)
  • Annotation(标注)

2.2 Data Analytics

  • Data Semantic(数据语义)
  • Meta-data Management(元数据管理)
  • Reasoning Contextual Data(上下文数据推理)

3. Data Protection

  • Anonymize(匿名化)
  • Data Masking(数据屏蔽,创建结构相似但不真实的数据版本,用以保护实际数据)
  • Data Transformation(数据转换,从一种格式或结构转换为另一种格式或结构的过程)
  • Sharing Control(共享控制)

###4. Data Publication

  • Publication(发表)
  • Open Data Sharing(开放的共享控制)
  • Personal Data Sharing(个人数据共享)
  • Visualization and Report(可视化报告)

AI-Based Deep Analysis

Decision Management(决策管理)

Discovery and Exploration(发现和探索)

Reporting and Analytics(报告和分析)

Predictive Analytics(预测分析)and Modelling

AI algorithms used in the field of data analysis

  • Linear regression(线性回归)
    举例:y = B0 + B1 * x 给定输入x,我们将预测y,线性回归学习算法的目标是找到系数B0和B1的值

  • Logistic Regression(逻辑回归)
    The prediction of the output is worth transforming using nonlinear functions called logical functions

  • Bayes Theorem(朴素贝叶斯)

  • KNN

  • Support Vector Machine

  • Random Forest

Trustworthiness in AIoT

// TODO,此处关于区块链,后续文章补充

Secure Decentralized Artificial Intelligence of Things (AI + Blockchain + IoT)

![](https://image-host-toky.oss-cn-shanghai.aliyuncs.com/Screen Shot 2019-12-27 at 10.47.00 AM.png)

Reference

[1] https://www.businesswire.com/news/home/20191203005602/en/Global-Artificial-Intelligence-IoT-AIoT-Convergence-Market

[2] https://www.roboticschina.com/news/2348.html

[3] https://ieeexplore.ieee.org/document/8603082